
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
// 
//   http://www.apache.org/licenses/LICENSE-2.0
// 
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
// under the License.

/**
 * AUTO-GENERATED FILE. DO NOT MODIFY.
 */

// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
// 
//   http://www.apache.org/licenses/LICENSE-2.0
// 
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
// under the License.
function asc(arr) {
	arr.sort(function (a, b) {
		return a - b;
	});
	return arr;
}

function quantile(ascArr, p) {
	var H = (ascArr.length - 1) * p + 1;
	var h = Math.floor(H);
	var v = +ascArr[h - 1];
	var e = H - h;
	return e ? v + e * (ascArr[h] - v) : v;
}
/**
 * See:
 *  <https://en.wikipedia.org/wiki/Box_plot#cite_note-frigge_hoaglin_iglewicz-2>
 *  <http://stat.ethz.ch/R-manual/R-devel/library/grDevices/html/boxplot.stats.html>
 *
 * Helper method for preparing data.
 *
 * @param {Array.<number>} rawData like
 *        [
 *            [12,232,443], (raw data set for the first box)
 *            [3843,5545,1232], (raw data set for the second box)
 *            ...
 *        ]
 * @param {Object} [opt]
 *
 * @param {(number|string)} [opt.boundIQR=1.5] Data less than min bound is outlier.
 *      default 1.5, means Q1 - 1.5 * (Q3 - Q1).
 *      If 'none'/0 passed, min bound will not be used.
 * @param {(number|string)} [opt.layout='horizontal']
 *      Box plot layout, can be 'horizontal' or 'vertical'
 * @return {Object} {
 *      boxData: Array.<Array.<number>>
 *      outliers: Array.<Array.<number>>
 *      axisData: Array.<string>
 * }
 */

export default function (rawData, opt) {
	opt = opt || {};
	var boxData = [];
	var outliers = [];
	var axisData = [];
	var boundIQR = opt.boundIQR;
	var useExtreme = boundIQR === 'none' || boundIQR === 0;

	for (var i = 0; i < rawData.length; i++) {
		axisData.push(i + '');
		var ascList = asc(rawData[i].slice());
		var Q1 = quantile(ascList, 0.25);
		var Q2 = quantile(ascList, 0.5);
		var Q3 = quantile(ascList, 0.75);
		var min = ascList[0];
		var max = ascList[ascList.length - 1];
		var bound = (boundIQR == null ? 1.5 : boundIQR) * (Q3 - Q1);
		var low = useExtreme ? min : Math.max(min, Q1 - bound);
		var high = useExtreme ? max : Math.min(max, Q3 + bound);
		boxData.push([low, Q1, Q2, Q3, high]);

		for (var j = 0; j < ascList.length; j++) {
			var dataItem = ascList[j];

			if (dataItem < low || dataItem > high) {
				var outlier = [i, dataItem];
				opt.layout === 'vertical' && outlier.reverse();
				outliers.push(outlier);
			}
		}
	}

	return {
		boxData: boxData,
		outliers: outliers,
		axisData: axisData
	};
}